Engku Ariff, EA, Dordevic, O and Jones, M (2017) A space vector PWM technique for a three-level symmetrical six phase drive. IEEE Transactions on Industrial Electronics, 64 (11). pp. 8396-8405. ISSN 0278-0046
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Abstract
A space vector pulse-width modulation (SVPWM) algorithm for a three-level symmetrical six-phase drive, based on vector space decomposition (VSD) approach, is for the first time presented and experimentally proven in this paper. The process how to correctly select the optimal switching sequences, based on several starting requirements and conditions for the analysed topology, such that the output phase voltage waveforms do not contain any low order harmonics, is explained in detail. The developed SVPWM algorithm is verified experimentally using a three-level neutral-point-clamped (NPC) converter and a symmetrical six-phase induction machine. Obtained results prove the validity of the developed SVPWM algorithm. The performance of the SVPWM algorithm is compared with the corresponding carrier-based modulation strategy and it is shown that the two techniques yield identical performance. Finally, both simulation and experimental analysis of the voltage and current THD are reported.
Item Type: | Article |
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Additional Information: | (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Uncontrolled Keywords: | 08 Information And Computing Sciences, 09 Engineering |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
Divisions: | Electronics and Electrical Engineering (merged with Engineering 10 Aug 20) |
Publisher: | Institute of Electrical and Electronics Engineers |
Date Deposited: | 06 Jun 2017 09:12 |
Last Modified: | 04 Sep 2021 11:28 |
DOI or ID number: | 10.1109/TIE.2017.2703668 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/6631 |
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